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Search results for: neural network
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Year: 2018, Volume: 18, Number: 3
... of High Speed Tangent Sigmoid Transfer Function Approximations for Artificial Neural Network Applications on FPGA Ismail KOYUNCU Afyon Kocatepe University ... the nonlinear functions used in Artificial based applications. Neural Networks (ANNs). As TSTF includes exponential Transfer ... used in ANNs are generally divided function operations, hardware-based implementation of this into two types: Linear and non-linear ...
Year: 2021, Volume: 21, Number: 3
... Number 3, 2021 Robust 2-bit Quantization of Weights in Neural Network Modeled by Laplacian Distribution Zoran PERIC, Bojan ... , high-resolution quantizers are addition to compression, in neural networks, the application of usually used, increasing complexity ... In this paper, we came quantizer models that are robust to changes in the variance of input data is ...
Year: 2010, Volume: 10, Issue: 3
... of the feeder responses to impulse waves which an artificial neural network(ANN). Wavelet packet is firstly ... paper, a new approach based on the wavelet packet networks, Fault detection, High impedance fault, Wavelet ... , is used to discriminate the HIF current from packet. currents of capacitor switching, line and load switching ...
Year: 2018, Volume: 18, Number: 2
... have been introduced for speaker verification [1] and neural network (DNN) for age identification from voice ... approximately 4% absolute performance. Nowadays, deep neural networks (DNN) have improvement with the combination compared ... the best been the most popular approach in many machine learning standalone system. problems thanks to the introduction of ...
Year: 2011, Volume: 11, Number: 2
... 2011 A New Filter Design Method for Disturbed Multilayer Hopfield Neural Networks Choon Ki AHN Faculty of the Department of ... Engineering, Seoul National University of Science& Technology 172 Gongneung 2-dong, Nowon-gu, Seoul 139-743, Korea hironaka ... the states of neural Consider the following multilayer Hopfield neural network networks using measurements and then use the estimated with ...
Year: 2018, Volume: 18, Number: 1
... for action support vector machines (SVM), and neural networks (NN) recognition using an acceleration sensor ... The data for the techniques and aggregates their outputs by using fuzzy acceleration sensor of the smartphone has been collected ... assignment of optimal confidence levels of the classifiers. The network, decision tree, and logistic regression for action ...
Year: 2007, Volume: 7, Issue: 1
... ), 2007 Simulation of Missile Autopilot with Two-Rate Hybrid Neural Network System Igor ASTROV1, Sergei TATARLY2, Svetlana ... system under measurement constraints is described. In this neural networks, simulation. system, the feedback controller is ... at the slow rate, while the feedforward controller is updated at the fast rate with a desired sequence. ...
Year: 2023, Volume: 23, Number: 3
... aims to make the system information by building a graph neural network of two modalities and then perform inter-modal fusion ... video. The next cross-modal interaction module fuses the neural networks [20-21] or based on dual-stream networks features ... Volume 23, Number 3, 2023 Video Moment Localization Network Based on Text Multi-semantic Clues Guidance Guangli WU, ...
Year: 2011, Volume: 11, Number: 4
... dynamics, optimized for implementations. digital implementation of Spiking Neural Networks. Its 1 A good compromise between computational ... and architecture is structured in two major blocks, a datapath and repertoire of spiking is the neuron model proposed ... 4, 2011 A Neuron Model for FPGA Spiking Neuronal Network Implementation Liviu ŢIGĂERU, Gabriel BONTEANU Gheorghe Asachi Technical ...
Year: 2019, Volume: 19, Number: 3
... , 2019 Spectral Subband Centroid Energy Vectors Algorithm and Artificial Neural Networks for Acoustic Emission Pattern Classification Marcus Tulius Barros ... ,2, Edson Guedes da COSTA1, Tarso Vilela FERREIRA1,3, André Dantas GERMANO1 1 Post-graduation Program ... proposes the use of artificial about a new artificial neural network training algorithm was neural networks (ANN) for ...
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